C. Toro, G. Deuschl, R. Thatcher, S. Sato, C. Kufta et al., Event-related desynchronization and movement-related cortical potentials on the ECoG and EEG, Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section, vol.93, issue.5, pp.380-389, 1994.
DOI : 10.1016/0168-5597(94)90126-0

G. Pfurtscheller, A. Stancák, G. Jr, and . Edlinger, On the existence of different types of central beta rhythms below 30 Hz, Electroencephalography and Clinical Neurophysiology, vol.102, issue.4, pp.316-341, 1997.
DOI : 10.1016/S0013-4694(96)96612-2

C. Babiloni, F. Babiloni, F. Carducci, F. Cincotti, G. Cocozza et al., Human Cortical Electroencephalography (EEG) Rhythms during the Observation of Simple Aimless Movements: A High-Resolution EEG Study, NeuroImage, vol.17, issue.2, pp.559-72, 2002.
DOI : 10.1006/nimg.2002.1192

P. Avanzini, M. Fabbri-destro, R. D. Volta, E. Daprati, G. Rizzolatti et al., The Dynamics of Sensorimotor Cortical Oscillations during the Observation of Hand Movements: An EEG Study, PLoS ONE, vol.24, issue.9, p.37534, 2012.
DOI : 10.1371/journal.pone.0037534.s003

G. Pfurtscheller, F. H. Lopes, and . Silva, Event-related EEG/MEG synchronization and desynchronization: basic principles, Clinical Neurophysiology, vol.110, issue.11, pp.1842-57, 1999.
DOI : 10.1016/S1388-2457(99)00141-8

G. Pfurtscheller, A. Stancák, C. Jr, and . Neuper, Post-movement beta synchronization. A correlate of an idling motor area?, Electroencephalography and Clinical Neurophysiology, vol.98, issue.4, pp.281-93, 1996.
DOI : 10.1016/0013-4694(95)00258-8

M. T. Jurkiewicz, W. C. Gaetz, A. C. Bostan, and D. Cheyne, Post-movement beta rebound is generated in motor cortex: Evidence from neuromagnetic recordings, NeuroImage, vol.32, issue.3, pp.1281-1289, 2006.
DOI : 10.1016/j.neuroimage.2006.06.005

M. Tangermann, K. Müller, A. Aertsen, N. Birbaumer, C. Braun et al., Review of the BCI Competition IV, Frontiers in Neuroscience, vol.6, p.55, 2012.
DOI : 10.3389/fnins.2012.00055

M. Naeem, C. Brunner, R. Leeb, B. Graimann, and G. Pfurtscheller, Seperability of four-class motor imagery data using independent components analysis, Journal of Neural Engineering, vol.3, issue.3, pp.208-224, 2006.
DOI : 10.1088/1741-2560/3/3/003

C. Brunner, M. Billinger, C. Vidaurre, and C. Neuper, A comparison of univariate, vector, bilinear autoregressive, and band power features for brain???computer interfaces, Medical & Biological Engineering & Computing, vol.113, issue.11, pp.1337-1383, 2011.
DOI : 10.1007/s11517-011-0828-x

. Fig, Processing method to observe the oscillatory power synchronization of the (alpha, beta and alpha+beta) rebounds after the end of the motor imagery. The showed EEG segments correspond to left hand motor imageries recorded on electrode C4 for subject 8